57 research outputs found
Bicarbonate-responsive “soluble” adenylyl cyclase defines a nuclear cAMP microdomain
Bicarbonate-responsive “soluble” adenylyl cyclase resides, in part, inside the mammalian cell nucleus where it stimulates the activity of nuclear protein kinase A to phosphorylate the cAMP response element binding protein (CREB). The existence of this complete and functional, nuclear-localized cAMP pathway establishes that cAMP signals in intracellular microdomains and identifies an alternate pathway leading to CREB activation
Clinical evaluation of the FreeStyle Precision Pro system
AbstractBackgroundA new version of international standard (ISO 15197) and CLSI Guideline (POCT12) with more stringent accuracy criteria are near publication. We evaluated the glucose test performance of the FreeStyle Precision Pro system, a new blood glucose monitoring system (BGMS) designed to enhance accuracy for point-of-care testing (POCT).MethodsPrecision, interference and system accuracy with 503 blood samples from capillary, venous and arterial sources were evaluated in a multicenter study. Study results were analyzed and presented in accordance with the specifications and recommendations of the final draft ISO 15197 and the new POCT12.ResultsThe FreeStyle Precision Pro system demonstrated acceptable precision (CV <5%), no interference across a hematocrit range of 15–65%, and, except for xylose, no interference from 24 of 25 potentially interfering substances. It also met all accuracy criteria specified in the final draft ISO 15197 and POCT12, with 97.3–98.9% of the individual results of various blood sample types agreeing within ±12mg/dl of the laboratory analyzer values at glucose concentrations <100mg/dl and within ±12.5% of the laboratory analyzer values at glucose concentrations ≥100mg/dl.ConclusionsThe FreeStyle Precision Pro system met the tighter accuracy requirements, providing a means for enhancing accuracy for point-of-care blood glucose monitoring
Do incoming residents vary in measures of emotional status even prior to residency training?
Objectives: To determine whether Empathy, Emotional Intelligence, and Burnout scores differ by specialty in incoming residents.
Methods: This is a single-site, prospective, cross-sectional study. Three validated survey instruments, the Jefferson Scale of Physician Empathy, Maslach Burnout Inventory, and Emotional and Social Competency Inventory, were written into a survey platform as a single 125-question Qualtrics survey. Over three academic years, 2015-2017, 229 incoming residents across all specialties were emailed the survey link during orientation. Residents were grouped by incoming specialty with anonymity assured. A total of 229 responses were included, with 121 (52.8%) identifying as female. Statistical analysis was performed using the Analysis of Variance or Kruskal-Wallis test, Chi-Square or Fisher\u27s Exact test, and Independent Samples t-test or Mann Whitney U test. A Bonferroni correction was applied for pairwise comparisons.
Results: Family Medicine had a higher median Jefferson Scale of Physician Empathy score (127) compared to Emergency Medicine (115), (U=767.7, p=0.0330). Maslach Burnout Inventory depersonalization and personal accomplishment subcategory scores showed a significant difference between specialties when omnibus tests were performed, but pairwise comparisons with emergency medicine residents showed no differences. Differences were found in the Maslach Burnout Inventory categories of Depersonalization (χ
Conclusions: Differences in measures of well-being exist across specialties, even prior to the start of residency training. The implication for educators of residency training is that some incoming residents, regardless of specialty, already exhibit troublesome features of burnout, and resources to effectively deal with these residents should be developed and utilized
Somatic ‘Soluble’ Adenylyl Cyclase Isoforms Are Unaffected in Sacytm1Lex/Sacytm1Lex ‘Knockout’ Mice
BACKGROUND: Mammalian Soluble adenylyl cyclase (sAC, Adcy10, or Sacy) represents a source of the second messenger cAMP distinct from the widely studied, G protein-regulated transmembrane adenylyl cyclases. Genetic deletion of the second through fourth coding exons in Sacy(tm1Lex)/Sacy(tm1Lex) knockout mice results in a male sterile phenotype. The absence of any major somatic phenotype is inconsistent with the variety of somatic functions identified for sAC using pharmacological inhibitors and RNA interference. PRINCIPAL FINDINGS: We now use immunological and molecular biological methods to demonstrate that somatic tissues express a previously unknown isoform of sAC, which utilizes a unique start site, and which 'escapes' the design of the Sacy(tm1Lex) knockout allele. CONCLUSIONS/SIGNIFICANCE: These studies reveal increased complexity at the sAC locus, and they suggest that the known isoforms of sAC play a unique function in male germ cells
Sushi in the United States, 1945-1970
Sushi first achieved widespread popularity in the United States in
the mid-1960s. Many accounts of sushi’s US establishment foreground
the role of a small number of key actors, yet underplay
the role of a complex web of large-scale factors that provided the
context in which sushi was able to flourish. This article critically
reviews existing literature, arguing that sushi’s US popularity
arose from contingent, long-term, and gradual processes. It examines
US newspaper accounts of sushi during 1945–1970, which
suggest the discursive context for US acceptance of sushi was
considerably more propitious than generally acknowledged.
Using California as a case study, the analysis also explains
conducive social and material factors, and directs attention to
the interplay of supply- and demand-side forces in the favorable
positioning of this “new” food. The article argues that the US
establishment of sushi can be understood as part of broader
public acceptance of Japanese cuisine
RT-PCR of cDNA from testis and brain from wild type (WT) and Sacy<sup>tm1Lex</sup>/Sacy<sup>tm1Lex</sup> mice (KO).
<p>(A) PCR across exons 15-16. (B) PCR across exons 5-11. (C) PCR for β-actin loading control. (D) PCR for LacZ/Neo. (−) is a no template control. The number in the lower right corner of each panel is the number of cycles used in each experiment.</p
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